Cloud Infrastructure Lead

Job Overview

Required an experienced Cloud Infrastructure Lead with deep expertise in Azure and AWS to oversee and optimize our cloud infrastructure. In this role, you will lead the design, implementation, and management of scalable, secure, and high-performing cloud solutions. The candidate will have a strong background in multi-cloud strategies, infrastructure automation, and cost optimization.

Key Responsibilities

• Design and implement hybrid and multi-cloud strategies using Azure, AWS & GCP.
• Develop robust infrastructure architectures that align with best practices for scalability, security, and cost efficiency.
• Lead the setup, configuration, and administration of cloud environments, ensuring high availability and performance.
• Optimize and monitor infrastructure for cost, performance, and scalability across both Azure and Aws
• Implement infrastructure-as-code (IaC) using Terraform, CloudFormation, or ARM templates.
• Integrate cloud infrastructure with CI/CD pipelines to enable seamless application deployments.
• Enforce security best practices across cloud environments, including identity and access management (IAM), encryption, and monitoring.
• Collaborate with DevOps, application, and security teams to deliver end-to-end solutions.
• Mentor junior engineers and provide technical leadership for cloud-related initiatives.
• Implement cloud monitoring and alerting systems using native and third-party tools (e.g., CloudWatch, Azure Monitor, Datadog).
• Ensure cloud systems comply with security and compliance standards, implementing best practices for data protection and access control.
• Lead incident resolution and root cause analysis for cloud infrastructure issues and collaborate with vendors team like Azure/AWS/GCP

Key Skills and Qualifications

• Strong hands-on experience with Azure (Azure Virtual Machines, Azure Functions, AKS, etc.) and AWS (EC2, S3, Lambda, EKS, etc.).
• Proficiency in infrastructure-as-code tools like Terraform, CloudFormation, or ARM Templates.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Experience in MLOps and cloud-based AI/Gen AI frameworks for AIML solution deployment and monitoring.
• Proficiency in scripting languages such as Python, PowerShell, or Bash for automation.
• Familiarity with CI/CD tools like Jenkins, GitLab CI/CD, or Azure DevOps Pipelines.
• In-depth knowledge of cloud security best practices, IAM, and compliance frameworks.
• Experience with monitoring tools (e.g., CloudWatch, Azure Monitor, Prometheus, Grafana).
• Excellent problem-solving skills and ability to work under pressure.
• Strong communication and interpersonal skills for stakeholder collaboration.
• Experience with serverless architecture and microservices.

Educational Background

• Bachelors degree in computer science, Information Technology, or a related field.
• Relevant certifications are highly desirable:
• Azure Solutions Architect Expert
• AWS Certified Solutions Architect (Professional)
• Other relevant certifications in cloud or DevOps.